Sensor placement for on-orbit modal identification via a genetic algorithm

Yao, Leehter; Sethares, William A.; Kammer, Daniel C.

doi:10.2514/3.11868

Cited by 192 publications

(133 citation statements)

References 9 publications

Supporting

Mentioning

132

Contrasting

Unclassified

Order By: Relevance

“…According to [12], the first pioneering studies on using GAs for the sensor placement problems date back to the early nineties [18]. For the exposed reasons, and due to their simplicity, GAs are highly recommended also in the case of complex civil structures and, in fact, were chosen to define the OSP for the vaulted halls in the Turin Exhibition Centre.…”

Section: Genetic Algorithms For Ospmentioning

confidence: 99%

Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage

Lenticchia

Ceravolo

Antonaci

2018

Shock and Vibration

View full text Add to dashboard Cite

Effective diagnostic and monitoring systems are highly needed in the building and infrastructure sector, to provide a comprehensive assessment of the structural health state and improve the maintenance and restoration planning. Vibration-based techniques, and especially ambient vibration testing, have proved to be particularly suitable for both periodic and continuous monitoring of existing structures. As a general requirement, permanent systems must include a sensing network able to run a continuous surveillance and provide reliable analyses based on different information sources. e variability in the environmental and operating conditions needs to be accounted for in designing such a sensor network, but it is mainly the structural typology that governs the optimal sensor placement strategy. Architectural heritage consists of a great variety of buildings and monuments that significantly differ from each other in terms of typology, historic period, construction techniques, and materials. In this paper, the main issues regarding seismic protection and analysis of the modern architectural heritage are introduced and applied to one of the vaulted structures built by Pier Luigi Nervi in the Turin Exhibition Centre. e importance of attaining an adequate level of knowledge in historic structures is also highlighted. After an overview of the Turin Exhibition Centre and its construction innovations, this paper focuses on Hall B, describing the structural design conceived by Pier Luigi Nervi. A seismic assessment of the structures of Hall B is then presented, considering the potential seismic damage to nonstructural elements. Subsequently, the application of an optimal sensor placement strategy is described with reference to two different scenarios: the first one corresponding to the undamaged structure and the second one that considers a possible damage to the infill walls. Finally, a novel damage-scenario-driven sensor placement strategy based on a combination of the two above mentioned is proposed and discussed. One of the major conclusions drawn from the analyses performed is that nonstructural elements undergoing seismic damage or degradation may significantly affect the global dynamic response and consequently the optimal sensing configurations.

show abstract

Section: Genetic Algorithms For Ospmentioning

confidence: 99%

Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage

Lenticchia

Ceravolo

Antonaci

2018

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…They present the most commonly applied algorithms and criteria. The sensor placement is a discrete optimization problem, for which genetic algorithms have been proposed [12][13][14]. Alternatively, a computationally efficient and widely used algorithm is to start with a large set of candidate sensor locations and removing one sensor in each round based on the selected criterion until the selected number of sensors remains.…”

Section: Introductionmentioning

confidence: 99%

Obtaining High Accuracy Vibration Measurements With Low-Cost Sensors Using Bayesian Virtual Sensing

Kullaa¹

2017

Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECO

View full text Add to dashboard Cite

show abstract

“…The algorithm is repeated, each time starting with the new created population, until some predefined end condition is satisfied. L. Yao et al used the GA for sensor placement optimization for a space structure and a photo-voltaic array, and suggested to use the determinant of the Fisher information matrix as the fitness function in the algorithm [2]. H. Y.…”

Section: Introductionmentioning

confidence: 99%

Sensor Placement Optimization Using Ensemble Kalman Filter and Genetic Algorithm

Nasr¹,

Saad²

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

View full text Add to dashboard Cite

show abstract

Sensor placement for on-orbit modal identification via a genetic algorithm

Cited by 192 publications

References 9 publications

Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage

Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage

Obtaining High Accuracy Vibration Measurements With Low-Cost Sensors Using Bayesian Virtual Sensing

Sensor Placement Optimization Using Ensemble Kalman Filter and Genetic Algorithm

Contact Info

Product

Resources

About